Many image fusion algorithms and software tools have been developed for combining images of
different spectral and spatial resolution. The resultant color image is of high resolution and is used in different
remote sensing applications which involve wide range of spatial, spectral, radiometric and temporal resolutions.
This study presents a comparative study of the three fusion methods based on Improved Additive Wavelet
(IAW), Intensity-Hue Saturation (IHS) and High Pass Filtering (HPF). The fusion results for each method is
collected and evaluated, both visually and objectively. Experimental results prove that the additive wavelet
method outperforms the other two methods in terms of quality measures such as the universal image quality
index, spectral angle mapper, Erreur relative globale adimensionnellede synthese and correlation.